Mechanisms Associated with Large Daily Rainfall Events in Northeast Brazil


Autoria(s): LIEBMANN, Brant; KILADIS, George N.; ALLURED, Dave; VERA, Carolina S.; JONES, Charles; CARVALHO, Leila M. V.; BLADE, Ileana; GONZALES, Paula L. M.
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

19/10/2012

19/10/2012

2011

Resumo

The mechanisms resulting in large daily rainfall events in Northeast Brazil are analyzed using data filtering to exclude periods longer than 30 days. Composites of circulation fields that include all independent events do not reveal any obvious forcing mechanisms as multiple patterns contribute to Northeast Brazil precipitation variability. To isolate coherent patterns, subsets of events are selected based on anomalies that precede the Northeast Brazil precipitation events at different locations. The results indicate that at 10 degrees S, 40 degrees W, the area of lowest annual rainfall in Brazil, precipitation occurs mainly in association with trailing midlatitude synoptic wave trains originating in either hemisphere. Closer to the equator at 5 degrees S, 37.5 degrees W, an additional convection precursor is found to the west, with a spatial structure consistent with that of a Kelvin wave. Although these two sites are located within only several hundred kilometers of each other and the midlatitude patterns that induce precipitation appear to be quite similar, the dates on which large precipitation anomalies occur at each location are almost entirely independent, pointing to separate forcing mechanisms.

NOAA CPO CPPA

Identificador

JOURNAL OF CLIMATE, v.24, n.2, p.376-396, 2011

0894-8755

http://producao.usp.br/handle/BDPI/26946

10.1175/2010JCLI3457.1

http://dx.doi.org/10.1175/2010JCLI3457.1

Idioma(s)

eng

Publicador

AMER METEOROLOGICAL SOC

Relação

Journal of Climate

Direitos

restrictedAccess

Copyright AMER METEOROLOGICAL SOC

Palavras-Chave #MADDEN-JULIAN OSCILLATION #ATLANTIC CONVERGENCE ZONE #TROPOSPHERIC CYCLONIC VORTICES #SOUTH-AMERICA #EXTREME PRECIPITATION #TROPICAL PACIFIC #CIRCULATION #AMAZON #PREDICTABILITY #PREDICTION #Meteorology & Atmospheric Sciences
Tipo

article

original article

publishedVersion